Observational Constraints on Global Aerosol-Cloud Interactions
Aerosols arguably remain the single greatest uncertainty among anthropogenic perturbations of the climate system. In particular the effects of aerosol-cloud interactions on global and regional radiation budgets and the hydrological cycle remain highly uncertain.
In this presentation, I will critically review some of the achievements made towards quantifying aerosol-cloud interactions in models and observations with a focus on the role of observations in the evaluation of global aerosol-climate models.
Starting from the local scale, I will explore model-data synergies in the assessment of the representativeness of observations, the suitability of remote-sensing retrieved aerosol properties as proxy for cloud condensation nuclei, all the way to the difficulty to constrain meteorological co-variability in global satellite-based studies of aerosol-cloud interactions. I will also show that some of these limitations can be overcome through cloud life-cycle based approaches, strengthening the case for new geostationary satellites or CubeSat constellations with the ability to sample the diurnal cycle.